Marketing Analytics Lead

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

We are looking to hire a Marketing Analytics Lead to join our Marketing Analytics team. This role is for a hands-on analyst who is passionate about telling stories with data, tackling complex problems, and directly influencing marketing strategy through rigorous analysis.

You will be supporting the Product Marketing team with strategic analysis and measuring campaign impact. In addition to informing strategy, you will navigate the Marketing and Product worlds to understand how marketing efforts shape downstream product engagement and customer behavior. The ideal candidate has a background in strategic analysis and prior experience leveraging data and insights to develop strategy, measuring marketing campaign performance, and connecting marketing & product work to business impact. 

Responsibilities:

• Perform data analysis using first party & third party data, able to dissect business issues, analyze large amounts of data, and draw actionable conclusions


• Conduct deep-dive analyses to measure the effectiveness and ROI of marketing campaigns across various channels. Go beyond standard metrics to uncover the "why" behind performance.


• Build, maintain, and improve dashboards and reports that track key marketing KPIs. Ensure that stakeholders have access to timely and accurate data to inform their decisions.


• Design experiments to test hypotheses and analysis to measure business impact


• Define, measure and track key marketing metrics over time, occasionally performing deep dives to understand what drives change in metrics 


• Translate insights into a cohesive narrative and present technical information to non-technical stakeholders


• Act as a dedicated analytical partner to marketing managers (e.g., Brand, Product Marketing, Growth). Provide the data and insights needed to refine strategies, set realistic goals, and execute effective campaigns.

Experience:

• Degree (or related work experience) with a focus in analytics, statistics, economics, marketing, or other quantitative fields


• 3+ years of experience in a data analytics role, specifically within marketing or a related field.


• Proficiency in SQL - able to write structured and efficient queries on large data sets


• Experience in Experimentation and A/B testing is preferred


• Experience in Marketing Models like Multi-Media Modeling / Attribution Modeling is a plus


• Advanced proficiency in Excel/Google Sheets for data analysis and modeling.


• Proficiency in a data visualization tool like Tableau, Looker, or similar.


• Experience with Python or R for data analysis is a strong plus.


• Strong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insights.


• Excellent communication skills, with a proven ability to present complex data and findings to a variety of stakeholders in a clear and compelling way.


• A strong attention to detail and a commitment to data accuracy and integrity.


• Ability to effectively collaborate with cross-functional partners, manage multiple competing priorities, and drive projects to completion.

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits


• Mental health benefits


• Family building benefits


• Child care and pet benefits


• Access to a Lyft funded Health Care Savings Account


• RRSP plan with company match to help save for your future


• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 


• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.


• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD 90,000 - CAD $112,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.